Uncertain Multi-Objective Decision Making: Methods and Industrial Models
暫譯: 不確定多目標決策：方法與工業模型

Fazlollahtabar, Hamed

Uncertain Multi-Objective Decision Making: Methods and Industrial Models
  • 出版商: Springer
  • 出版日期: 2026-01-03
  • 售價: $7,360
  • 貴賓價: 9.5 折 $6,992
  • 語言: 英文
  • 頁數: 320
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 9819560349
  • ISBN-13: 9789819560349
  • 相關分類: 管理與領導 Management-leadership

    • 海外代購書籍(需單獨結帳)

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商品描述

This book explains multi-objective optimization as an area of multicriteria decision making that deals with mathematical optimization problems involving more than one objective function that must be optimized simultaneously. Multi-objective optimization is used in many fields of science, including engineering, economics, and logistics, where there is a need to make optimal decisions in the presence of trade-offs between two or more conflicting objectives. Uncertain optimization refers to contexts where there is uncertainty in models and data. It potentially has various applications in different domains such as portfolio selection, inventory management, pollution reduction, sustainable development, resource allocation and reallocation, and performance analysis. The book encompasses various types of uncertainty in decision making namely fuzziness, possibility, Bayesian, stochastic, roughness, vagueness, and artificial intelligence and develops application areas in industrial cases. It includes 12 chapters presenting multiobjective decision models under one of the uncertainty types. In each chapter an implementation study is illustrated to show the applicability of the model.

商品描述(中文翻譯)

本書解釋了多目標優化作為多準則決策的一個領域，處理涉及多個目標函數的數學優化問題，這些目標函數必須同時被優化。多目標優化在許多科學領域中被使用，包括工程、經濟學和物流，這些領域需要在兩個或更多相互衝突的目標之間進行權衡以做出最佳決策。不確定優化是指在模型和數據中存在不確定性的情境。它在不同領域中潛在地具有各種應用，例如投資組合選擇、庫存管理、污染減少、可持續發展、資源分配和重新分配，以及績效分析。本書涵蓋了決策中各種不確定性類型，即模糊性、可能性、貝葉斯、不確定性、粗糙性、模糊性和人工智慧，並在工業案例中發展應用領域。書中包含12章，介紹在其中一種不確定性類型下的多目標決策模型。在每一章中，通過實施研究來說明模型的適用性。

作者簡介

Hamed Fazlollahtabar earned a BSc and an MSc in industrial engineering from Mazandaran University of Science and Technology, Babol, Iran, in 2008 and 2010, respectively. He received his Ph.D. in Industrial and Systems Engineering from the Iran University of Science and Technology, Tehran, Iran, in 2015 and has completed a postdoctoral research fellowship at Sharif University of Technology, Tehran, Iran, in the area of reliability engineering for complex systems from October 2016 to March 2017. He joined the Department of Industrial Engineering at Damghan University, Damghan, Iran, in June 2017, and currently is working as an Associate Professor. He is a member of Iran Elites foundation. He has been chosen as Exemplary Researcher of Iran in all Engineering Diciplines, 2022 and Distinguished Young Industrial Engineering Researcher, Iran Academy of Science. 2023. He has been listed as world top 2% scientists in 2021, 2022, 2023 and 2024. His research interests are in uncertain decision making and analytics, industry 4.0+ production systems, reliability engineering, and sustainable supply chain planning.

作者簡介(中文翻譯)

哈梅德·法茲洛拉塔巴（Hamed Fazlollahtabar）於2008年和2010年分別在伊朗巴布爾的馬贊達蘭科技大學（Mazandaran University of Science and Technology）獲得工業工程學士和碩士學位。他於2015年在伊朗德黑蘭的伊朗科技大學（Iran University of Science and Technology）獲得工業與系統工程博士學位，並於2016年10月至2017年3月在德黑蘭的沙里夫科技大學（Sharif University of Technology）完成有關複雜系統可靠性工程的博士後研究。2017年6月，他加入伊朗達姆甘大學（Damghan University）工業工程系，目前擔任副教授。他是伊朗精英基金會的成員。2022年，他被選為伊朗所有工程學科的模範研究人員，並於2023年獲得伊朗科學院的傑出青年工業工程研究人員稱號。他在2021年、2022年、2023年和2024年被列為全球前2%的科學家。他的研究興趣包括不確定性決策與分析、工業4.0+生產系統、可靠性工程和可持續供應鏈規劃。

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